3D Brain Lesion Tracking for MS vs SVD Differentiation
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Solution Overview
Problem
Current MS diagnosis using 2D MRI images is hindered by the misclassification of lesions from other diseases like cerebral small vessel disease (SVD), leading to inaccurate differentiation between MS and non-MS lesions due to the lack of appreciation of central vessels and heterogeneity of lesions.
Innovation Solution
Assessing displacement and change in volume of brain lesions over time using 3D MRI images, characterized by criteria such as centroid movement and rate of displacement, to differentiate MS lesions from SVD lesions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If 2D MRI images are used for MS diagnosis, then the diagnostic process is simple and quick, but the accuracy of lesion differentiation between MS and non-MS is poor
Solution Approach 1:
The patent transitions from 2D MRI imaging to 3D MRI imaging to characterize brain lesions. This dimensional change enables the assessment of lesion volume, shape, and spatial distribution in three dimensions, providing more comprehensive morphological information that improves the differentiation between MS and non-MS lesions while maintaining diagnostic efficiency
2Measurement precision
If quantitative phase imaging and FLAIR MRI are used to improve lesion specificity, then central vasculature and iron deposits can be highlighted, but the technique is limited by the lack of appreciation of central vessels in all orthogonal planes and abundance of intersecting vessels
Solution Approach 1:
The patent employs 3D MRI imaging that captures lesions in all three spatial dimensions, enabling the assessment of central vessel orientation and relationship to lesion boundaries in orthogonal planes. This three-dimensional visualization overcomes the limitation of 2D imaging where central vessels cannot be properly appreciated in all orientations, and helps distinguish true MS lesions from artifacts caused by intersecting vessels
3Reliability
If conventional 2D MRI assessment is used, then the diagnostic workflow is straightforward, but lesions from other diseases like cerebral small vessel disease are misinterpreted as MS lesions
Solution Approach 1:
The patent segments and characterizes lesions based on multiple 3D morphological parameters including volume, shape factors, and spatial distribution patterns. By dividing the diagnostic assessment into distinct quantitative measurements, the system can differentiate MS lesions from non-MS lesions with greater reliability while maintaining an automated workflow that does not significantly increase operational complexity
Solution Approach 2:
The patent introduces multiple 3D morphological parameters (volume, sphericity, elongation, spatial orientation) to characterize lesions. These additional parameters provide more discriminative power for distinguishing MS from non-MS conditions, improving diagnostic reliability without requiring complex manual analysis procedures
Data Source
AI summary
Some methods comprise, for each of one or more lesions of a patients brain, from data taken at first and second times, determining two or more lesion characteristics including a lesion's volume change and whether the lesion moved toward a center of the brain. Some methods comprise, for each lesion, determining whether one or more criteria are satisfied, including a volume-and-displacement-based criterion that is satisfied when the change in the volume of the lesion is less than zero and the lesion moved toward the brain's center or the change in the volume of the lesion is greater than zero and the lesion did not move toward the brain's center. Some methods comprise characterizing whether the patient has multiple sclerosis and/or the progression, regression, or stability of multiple sclerosis based at least in part on the assessment of the one or more criteria for each of the lesion(s).